ArrayExpress—a public repository for microarray gene expression data at the EBI

ArrayExpress is a public repository for microarray data that supports the MIAME (Minimum Informa-tion About a Microarray Experiment) requirements and stores well-annotated raw and normalized data. As of November 2004, ArrayExpress contains data from ∼12 000 hybridizations covering 35 species. Data can be submitted online or directly from local databases or LIMS in a standard format, and password-protected access to prepublication data is provided for reviewers and authors. The data can be retrieved by accession number or queried by vari-ous parameters such as species, author and array platform. A facility to query experiments by gene and sample properties is provided for a growing subset of curated data that is loaded in to the ArrayExpress data warehouse. Data can be visualized and analysed using Expression Profiler, the integrated data analysis tool. ArrayExpress is available at http://www.ebi.ac.uk/arrayexpress

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use of yoghurt reduces antibiotic induced diarrhoea in childre

An information technology (it) approach in developing a solution to a local environmental problem

Solid waste (mis)management is one of the most serious local environmental problems in Sri Lanka (Figure 1). It has become a big threat to public health, the beautiful environment and a burden to the national economy

Development of an expert system for better management of solid waste composting by pradeshiya sabhas in Sri Lanka

The increasing population and the ever-changing life style of the public have begun to add to the growing solid waste problem in Sri Lanka. As a solution, Local Authorities, NGOs, researchers and environmentalists have implemented several composting projects. Unfortunately, most of these projects are either abandoned or operating under poor conditions due to social, economic and technical problems encountered and none of options have solved the solid waste management problem itself. A key issue that is highlighted is the lack of qualified personnel (experts) to advise and assist Local Authorities to adopt the best solid waste management practices. Decision Support Systems and Expert Systems are favourable tools to overcome these problems. Therefore by capturing past mistakes, weak points and considering past experience, a user friendly Expert System called BESTCOMP was developed for better management of solid waste composting by Pradeshiya Sabhas in Sri Lanka. This research mainly focused on the behaviour of the physical, chemical and biological process in composting. The model is geared towards decision making as well as providing required expertise to solid waste composting hierarchy

Case Reports Acute renal failure following multiple wasp bites

(Key words: wasp bites, acute renal failure

BESTCOMP: expert system for Sri Lankan solid waste composting

A user friendly expert system, BESTCOMP was developed for better management of solid waste composting by local authorities in Sri Lanka. BESTCOMP expert system mainly focussed on the behaviour of the physical, chemical and biological process in composting. The intention had been to provide distant users with scientific and techno-economic information using modern tools but at a much lower cost. This research has put very strong emphasis on allowing the user to browse around the knowledge that has being extracted from books, published research articles, reports, audio, video, Internet, case studies and the domain experts who involved in solid waste management activities, so the user can get an accurate and a real feel for the solid waste management subject

ArrayExpress update—from an archive of functional genomics experiments to the atlas of gene expression

Original article can be found at: http://nar.oxfordjournals.org/ Copyright the Author(s) DOI: 10.1093/nar/gkn889 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/UK/)which permits unrestricted non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.ArrayExpress http://www.ebi.ac.uk/arrayexpress consists of three components: the ArrayExpress Repository—a public archive of functional genomics experiments and supporting data, the ArrayExpress Warehouse—a database of gene expression profiles and other bio-measurements and the ArrayExpress Atlas—a new summary database and meta-analytical tool of ranked gene expression across multiple experiments and different biological conditions. The Repository contains data from over 6000 experiments comprising approximately 200 000 assays, and the database doubles in size every 15 months. The majority of the data are array based, but other data types are included, most recently—ultra high-throughput sequencing transcriptomics and epigenetic data. The Warehouse and Atlas allow users to query for differentially expressed genes by gene names and properties, experimental conditions and sample properties, or a combination of both. In this update, we describe the ArrayExpress developments over the last two years.Peer reviewe